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Lean, green and resilient practices influence on supply chain performance

2015-01-01Artigo científico Acesso aberto
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dc.contributor.authorGovindan, K.
dc.contributor.authorAzevedo, S. G.
dc.contributor.authorCarvalho, Helena Maria Lourenço
dc.contributor.authorMachado, Virgílio António Cruz
dc.contributor.institutionDEMI - Departamento de Engenharia Mecânica e Industrial
dc.contributor.institutionUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial
dc.contributor.pblSpringer
dc.date.accessioned2017-05-30T13:56:59Z
dc.date.available2017-05-30T13:56:59Z
dc.date.issued2015-01-01
dc.description.abstractNowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them.en
dc.description.versionpublished
dc.format.extent20
dc.format.extent480481
dc.identifier.doi10.1007/s13762-013-0409-7
dc.identifier.issn1735-1472
dc.identifier.otherPURE: 139672
dc.identifier.otherPURE UUID: 8d155f12-c689-4c1c-97e9-e42bc13b8cb8
dc.identifier.otherresearchoutputwizard: 46365
dc.identifier.otherScopus: 84983508844
dc.identifier.otherWOS: 000347455100002
dc.identifier.otherORCID: /0000-0002-1165-4339/work/55091137
dc.identifier.otherORCID: /0000-0002-1588-0579/work/56061497
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84983508844&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/84983508844
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAutomotive supply chain
dc.subjectGreen
dc.subjectInterpretive structural modeling
dc.subjectLean
dc.subjectResilient
dc.subjectSupply chain performance
dc.subjectGeneral Agricultural and Biological Sciences
dc.subjectEnvironmental Chemistry
dc.subjectEnvironmental Engineering
dc.titleLean, green and resilient practices influence on supply chain performanceen
dc.title.subtitleinterpretive structural modeling approachen
dc.typejournal article
degois.publication.firstPage15
degois.publication.issue1
degois.publication.lastPage34
degois.publication.titleInternational Journal of Environmental Science and Technology
degois.publication.volume12
dspace.entity.typePublication
rcaap.rightsopenAccess

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